Design of signal controllers for urban intersections based on fuzzy logic and weightings

This paper considers the traffic flow movement and dispersion at multi intersections in the urban road traffic system. The signal controller at a single intersection should control its traffic; moreover, consider the traffic among its neighbors. So the new fuzzy controller based on fuzzy logic and weighting coefficients is proposed. The fuzzy signal controller takes into account the coordination of signal timing between neighbor intersections. The weighting fuzzy module is developed to give the weights that the traffic flow at neighbor intersections imposes on the signal timing at current intersection. The fuzzy rules of the signal controller and the weighting module are produced by the traffic information with the vehicles detectors. The average delay time of a vehicle is used as a performance index. The parameters, that is, cycle time, green splits and phasing are optimized in the traffic network. The simulation results show better performances and adaptability in the cases of time-varying traffic patterns compared with the full-actuated signal controller.

I. Introduction

TRAFFIC signal control is one of the main objectives in urban transportation control. As we know the traffic flow groups coming from several directions conflict at an intersection, which brings traffic jams, chaos and even accidents. The effective signal timings at intersections can control the traffic flow to pass through the intersections clearly, safely and with the minimum stops and delays. So the signal control is the key to resolve those problems which typically appeared in the urban transportation.